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Journal of Evolutionary Economics

, Volume 7, Issue 4, pp 375–393 | Cite as

Genetic algorithms in evolutionary modelling

  • Chris Birchenhall
  • Nikos Kastrinos
  • Stan Metcalfe
Article

Abstract.

Evolutionary modellers have recently taken an interest in the use of computer simulations based on genetic algorithms; this paper offers two contributions to this literature. In the initial sections we aim to place the GA into a general review of evolutionary dynamics, including Fisher's Principle. In the second half of the paper, we offer a modified GA that replaces the selection and crossover operators with a selective transfer operator. We argue this modified algorithm has a ready interpretation in the modelling of learning, namely as a proxy for imitation in a population working with modular technologies. A simple application is used to give an initial assessment of the algorithm and to test Fisher's Principle.

Key words: Genetic algorithms Competition Evolutionary dynamics Population learning 
JEL-classification: D83; O31 

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Chris Birchenhall
    • 1
  • Nikos Kastrinos
    • 1
  • Stan Metcalfe
    • 1
  1. 1.School of Economic Studies, PREST and CRIC, University of Manchester, Oxford Road, Manchester M13 9PL, UKGB

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